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7月
基于负相关集成学习的多模态平衡优化方法及其性能提升研究
针对多模态学习(Multimodal Learning)中存在的模态不平衡问题(Modality Imbalance),研究人员从集成学习(Ensemble Learning)视角出发,提出负相关学习(Negative Correlation Learning)框架,通过构建单模态基分类器与信息多样性约束,在CREMA-D等5个数据集上实现显著性能提升,为解决 ...
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